The global consumer industry experienced a 9% rise in new job postings related to corporate governance in Q3 2022 compared with the previous quarter, according to GlobalData’s whitepaper on Corporate Governance in Consumer – Hiring Activity in Q3 2022. This compares to an 100% increase versus Q3 2021.
Notably, General and Operations Managers jobs accounted for a 4% share of the global consumer industry’s corporate governance-related total new job postings in Q3 2022, up 26% over the prior quarter.
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General and Operations Managers, with a share of 4%, emerged as the top corporate governance-related job roles within the consumer industry in Q3 2022, with new job postings rising by 26% quarter-on-quarter. Computer and Information Analysts came in second with a share of 3% in Q3 2022, with new job postings rising by 10% over the previous quarter.
The other prominent corporate governance roles include Computer and Information Systems Managers with a 2% share in Q3 2022, Software and Web Developers, Programmers, and Testers with a 2% share of new job postings.
The top companies, in terms of number of new job postings tracked by GlobalData, as of Q3 2022 were Bimbo Bakeries USA, Body Shop International, Lamb Weston Holdings and J. R. Simplot. Together they accounted for a combined share of 21% of all corporate governance-related active jobs in the consumer industry.
Bimbo Bakeries USA posted 712 corporate governance-related new jobs in Q3 2022, Body Shop International 532 jobs, Lamb Weston Holdings 381 jobs, and J. R. Simplot 269 jobs, according to GlobalData’s Job Analytics.
The largest share of corporate governance-related new job postings in the consumer industry in Q3 2022 was in the US with 59% followed by the UK (8%) and Australia (4%). The share represented by the US was one percentage point higher than the 57% share it accounted for in Q2 2022.
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GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
GlobalData’s Jobs Analytics uses machine learning to uncover key insights from tracking daily job postings for thousands of companies globally. Proprietary analysis is used to group jobs into key thematic areas and granular sectors across the world’s largest industries. classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
